| nr |
titel |
auteur |
tijdschrift |
jaar |
jaarg. |
afl. |
pagina('s) |
type |
| 1 |
A machine learning-based probabilistic computational framework for uncertainty quantification of actuation of clustered tensegrity structures
|
Ge, Yipeng
|
|
|
72 |
3 |
p. 431-450
|
artikel
|
| 2 |
An asynchronous parallel high-throughput model calibration framework for crystal plasticity finite element constitutive models
|
Tran, Anh
|
|
|
72 |
3 |
p. 485-498
|
artikel
|
| 3 |
A thermodynamics-informed active learning approach to perception and reasoning about fluids
|
Moya, Beatriz
|
|
|
72 |
3 |
p. 577-591
|
artikel
|
| 4 |
Automated segmentation of porous thermal spray material CT scans with predictive uncertainty estimation
|
Martinez, Carianne
|
|
|
72 |
3 |
p. 525-551
|
artikel
|
| 5 |
Correction: An asynchronous parallel high-throughput model calibration framework for crystal plasticity finite element constitutive models
|
Tran, Anh
|
|
|
72 |
3 |
p. 613
|
artikel
|
| 6 |
Deep neural operator for learning transient response of interpenetrating phase composites subject to dynamic loading
|
Lu, Minglei
|
|
|
72 |
3 |
p. 563-576
|
artikel
|
| 7 |
Hybrid thermal modeling of additive manufacturing processes using physics-informed neural networks for temperature prediction and parameter identification
|
Liao, Shuheng
|
|
|
72 |
3 |
p. 499-512
|
artikel
|
| 8 |
Machine learning meta-models for fast parameter identification of the lattice discrete particle model
|
Lyu, Yuhui
|
|
|
72 |
3 |
p. 593-612
|
artikel
|
| 9 |
On the geometry transferability of the hybrid iterative numerical solver for differential equations
|
Kahana, Adar
|
|
|
72 |
3 |
p. 471-484
|
artikel
|
| 10 |
Physics-informed deep learning for three-dimensional transient heat transfer analysis of functionally graded materials
|
Guo, Hongwei
|
|
|
72 |
3 |
p. 513-524
|
artikel
|
| 11 |
Port-metriplectic neural networks: thermodynamics-informed machine learning of complex physical systems
|
Hernández, Quercus
|
|
|
72 |
3 |
p. 553-561
|
artikel
|
| 12 |
Semi-supervised invertible neural operators for Bayesian inverse problems
|
Kaltenbach, Sebastian
|
|
|
72 |
3 |
p. 451-470
|
artikel
|
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